Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice
Owing to differing and complex snow geophysical properties, radar waves of different wavelengths undergo variable penetration through snow-covered sea ice. However, the mechanisms influencing radar altimeter backscatter from snow-covered sea ice, especially at Ka- and Ku-band frequencies, and its im...
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ftcopernicus:oai:publications.copernicus.org:tcd87030 2023-05-15T15:04:49+02:00 Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice Tonboe, Rasmus T. Nandan, Vishnu Yackel, John Kern, Stefan Pedersen, Leif Toudal Stroeve, Julienne 2020-08-10 application/pdf https://doi.org/10.5194/tc-2020-196 https://tc.copernicus.org/preprints/tc-2020-196/ eng eng doi:10.5194/tc-2020-196 https://tc.copernicus.org/preprints/tc-2020-196/ eISSN: 1994-0424 Text 2020 ftcopernicus https://doi.org/10.5194/tc-2020-196 2020-08-17T16:22:16Z Owing to differing and complex snow geophysical properties, radar waves of different wavelengths undergo variable penetration through snow-covered sea ice. However, the mechanisms influencing radar altimeter backscatter from snow-covered sea ice, especially at Ka- and Ku-band frequencies, and its impact on the Ka- and Ku-band radar scattering horizon or the "track point" (i.e. the scattering layer depth detected by the radar re-tracker), are not well understood. In this study, we evaluate the Ka- and Ku-band radar scattering horizon with respect to radar penetration and ice floe buoyancy using a first-order scattering model and Archimedes’ principle. The scattering model is forced with snow depth data from the European Space Agency (ESA) climate change initiative (CCI) round robin data package, NASA’s Operation Ice Bridge (OIB) data and climatology, and detailed snow geophysical property profiles from the Canadian Arctic. Our simulations demonstrate that the Ka- and Ku-band track point difference is a function of snow depth, however, the simulated track point difference is much smaller than what is reported in the literature from the CryoSat-2 Ku-band and SARAL/AltiKa Ka-band satellite radar altimeter observations. We argue that this discrepancy in the Ka- and Ku-band track point differences are sensitive to ice type and snow depth and its associated geophysical properties. Snow salinity is first increasing the Ka- and Ku-band track-point difference when the snow is thin and then decreasing the difference when the snow is thick (> 10 cm). A relationship between the Ku-band radar scattering horizon and snow depth is found. This relationship has implications for 1) the use of snow climatology in the conversion of radar freeboard into sea ice thickness and 2) the impact of variability in measured snow depth on the derived ice thickness. For both 1 and 2, the impact of using a snow climatology versus the actual snow depth is relatively small on the measured freeboard, by only raising the measured freeboard by 0.03 times the climatological snow depth plus 0.03 times the real snow depth. This study serves to enhance our understanding of microwave interactions towards improved accuracy of snow depth and sea ice thickness retrievals from combining currently operational and upcoming Ka- and Ku-band dual-frequency radar altimeter missions, such as ESA’s Copernicus High Priority Candidate Mission CRISTAL. Text Arctic Climate change Sea ice Copernicus Publications: E-Journals Arctic |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
Owing to differing and complex snow geophysical properties, radar waves of different wavelengths undergo variable penetration through snow-covered sea ice. However, the mechanisms influencing radar altimeter backscatter from snow-covered sea ice, especially at Ka- and Ku-band frequencies, and its impact on the Ka- and Ku-band radar scattering horizon or the "track point" (i.e. the scattering layer depth detected by the radar re-tracker), are not well understood. In this study, we evaluate the Ka- and Ku-band radar scattering horizon with respect to radar penetration and ice floe buoyancy using a first-order scattering model and Archimedes’ principle. The scattering model is forced with snow depth data from the European Space Agency (ESA) climate change initiative (CCI) round robin data package, NASA’s Operation Ice Bridge (OIB) data and climatology, and detailed snow geophysical property profiles from the Canadian Arctic. Our simulations demonstrate that the Ka- and Ku-band track point difference is a function of snow depth, however, the simulated track point difference is much smaller than what is reported in the literature from the CryoSat-2 Ku-band and SARAL/AltiKa Ka-band satellite radar altimeter observations. We argue that this discrepancy in the Ka- and Ku-band track point differences are sensitive to ice type and snow depth and its associated geophysical properties. Snow salinity is first increasing the Ka- and Ku-band track-point difference when the snow is thin and then decreasing the difference when the snow is thick (> 10 cm). A relationship between the Ku-band radar scattering horizon and snow depth is found. This relationship has implications for 1) the use of snow climatology in the conversion of radar freeboard into sea ice thickness and 2) the impact of variability in measured snow depth on the derived ice thickness. For both 1 and 2, the impact of using a snow climatology versus the actual snow depth is relatively small on the measured freeboard, by only raising the measured freeboard by 0.03 times the climatological snow depth plus 0.03 times the real snow depth. This study serves to enhance our understanding of microwave interactions towards improved accuracy of snow depth and sea ice thickness retrievals from combining currently operational and upcoming Ka- and Ku-band dual-frequency radar altimeter missions, such as ESA’s Copernicus High Priority Candidate Mission CRISTAL. |
format |
Text |
author |
Tonboe, Rasmus T. Nandan, Vishnu Yackel, John Kern, Stefan Pedersen, Leif Toudal Stroeve, Julienne |
spellingShingle |
Tonboe, Rasmus T. Nandan, Vishnu Yackel, John Kern, Stefan Pedersen, Leif Toudal Stroeve, Julienne Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
author_facet |
Tonboe, Rasmus T. Nandan, Vishnu Yackel, John Kern, Stefan Pedersen, Leif Toudal Stroeve, Julienne |
author_sort |
Tonboe, Rasmus T. |
title |
Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
title_short |
Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
title_full |
Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
title_fullStr |
Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
title_full_unstemmed |
Simulated Ka- and Ku-band radar altimeter scattering horizon on snow-covered Arctic sea ice |
title_sort |
simulated ka- and ku-band radar altimeter scattering horizon on snow-covered arctic sea ice |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-2020-196 https://tc.copernicus.org/preprints/tc-2020-196/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice |
genre_facet |
Arctic Climate change Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-2020-196 https://tc.copernicus.org/preprints/tc-2020-196/ |
op_doi |
https://doi.org/10.5194/tc-2020-196 |
_version_ |
1766336550834012160 |